[SPARK-41001] [CONNECT] [PYTHON] Implementing Connection String for Python Client#38485
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grundprinzip wants to merge 9 commits intoapache:masterfrom
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[SPARK-41001] [CONNECT] [PYTHON] Implementing Connection String for Python Client#38485grundprinzip wants to merge 9 commits intoapache:masterfrom
grundprinzip wants to merge 9 commits intoapache:masterfrom
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amaliujia
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HyukjinKwon
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Looks fine from a cursory look. cc @zhengruifeng too
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Can one of the admins verify this patch? |
Co-authored-by: Hyukjin Kwon <gurwls223@gmail.com>
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accepted suggestion and fixed a doc example with missing quote |
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Merged to master. |
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| class ChannelBuilderTests(ReusedPySparkTestCase): |
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This should be skipped by should_test_connect like SparkConnectSQLTestCase in this file.
@unittest.skipIf(not should_test_connect, connect_requirement_message)
class SparkConnectSQLTestCase(ReusedPySparkTestCase):
I made a PR for that.
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…hon Client ### What changes were proposed in this pull request? This PR implements the connection string for Spark Connect clients according to the documentation added in apache#38470. With this patch it becomes possible to connect to a Spark Connect endpoint using ``` spark = SparkRemoteSession(user_id="martin", connection_string="sc://hostname/;use_ssl=true;token=abcd") spark.read.table("test").limit(10).toPandas() ``` The connection string is properly parsed and filtered. This allows to dynamically configure SSL and bearer token authentication. All remaining parameters are converted into GRPC Metadata pairs and submitted as part of the request. ### Why are the changes needed? User experience. ### Does this PR introduce _any_ user-facing change? No, experimental API. ### How was this patch tested? UT Closes apache#38485 from grundprinzip/SPARK-41001. Lead-authored-by: Martin Grund <martin.grund@databricks.com> Co-authored-by: Martin Grund <grundprinzip@gmail.com> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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What changes were proposed in this pull request?
This PR implements the connection string for Spark Connect clients according to the documentation added in #38470.
With this patch it becomes possible to connect to a Spark Connect endpoint using
The connection string is properly parsed and filtered. This allows to dynamically configure SSL and bearer token authentication. All remaining parameters are converted into GRPC Metadata pairs and submitted as part of the request.
Why are the changes needed?
User experience.
Does this PR introduce any user-facing change?
No, experimental API.
How was this patch tested?
UT